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Record W2097777680 · doi:10.1177/1469540508090086

`Meat, Mask, Burden`

2008· article· en· W2097777680 on OpenAlexaff
Alison Hearn

Bibliographic record

VenueJournal of Consumer Culture · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsPersonaSociologyMainstreamNarrativeValue (mathematics)ReflexivityConsumerismConsumption (sociology)Object (grammar)Identity (music)AdvertisingAestheticsBusinessPolitical scienceSocial scienceLawArt

Abstract

fetched live from OpenAlex

This article will argue that the `reflexive project of the self' (Giddens) has become an explicit form of labour under post-Fordist capital in the form of `self-branding'. Here, work on the self is purposeful and outer-directed; self-production is heavily narrated, marked by the visual codes of the mainstream culture industry, and subject to the extraction of value. The article will explore inflections of self-branding across several different mediated forms. Contemporary marketing literature identifies the construction of a branded persona as a central strategy in the negotiation of increasingly complex corporate environments. Recently the practice and logic of personal branding has moved out of the boardroom and into the television studio. Television shows such as The Apprentice and American Idol invent a narrative of self-branding and simultaneously produce branded personae. Websites such as 2night.com extract value from partying young people; photographers take pictures at nightclubs and link them to advertisements online, blurring the distinction between product and consumer, private self and instrumental associative object. The logic and practice of self-branding is inflected differently again on social network sites such as facebook.com or myspace.com, which are inventories of various types of `selves'. These forms of self-branding, found across several different kinds of media, illustrate the erosion of any meaningful distinction between notions of the self and capitalist processes of production and consumption.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0090.009
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0590.026

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.307
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations479
Published2008
Admission routes1
Has abstractyes

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